Title :
A new family of spline-based biorthogonal wavelet transforms and their application to image compression
Author :
Averbuch, Amir Z. ; Zheludev, Valery A.
Author_Institution :
Sch. of Comput. Sci., Tel Aviv Univ., Israel
fDate :
7/1/2004 12:00:00 AM
Abstract :
In this paper. we design a new family of biorthogonal wavelet transforms and describe their applications to still image compression. The wavelet transforms are constructed from various types of interpolatory and quasiinterpolatory splines. The transforms use finite impulse response and infinite impulse response filters that are implemented in a fast lifting mode.
Keywords :
FIR filters; IIR filters; data compression; image coding; interpolation; splines (mathematics); wavelet transforms; fast lifting mode; finite impulse response filters; infinite impulse response filters; interpolatory splines; quasiinterpolatory splines; spline-based biorthogonal wavelet transform; still image compression; Biomedical signal processing; Discrete transforms; Discrete wavelet transforms; IIR filters; Image coding; Polynomials; Signal processing; Spline; Wavelet analysis; Wavelet transforms; Algorithms; Artificial Intelligence; Computer Graphics; Data Compression; Image Enhancement; Image Interpretation, Computer-Assisted; Numerical Analysis, Computer-Assisted; Pattern Recognition, Automated; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Subtraction Technique;
Journal_Title :
Image Processing, IEEE Transactions on
DOI :
10.1109/TIP.2004.827229
